Currently unavailable.
We don't know when or if this item will be back in stock.
Select delivery location
Kindle app logo image

Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet or computer—no Kindle device required.

Read instantly on your browser with Kindle for Web.

Using your mobile phone camera, scan the code below and download the Kindle app.

QR code to download the Kindle App

Follow the author

Richard H. Williams
Follow
Something went wrong. Please try your request again later.

Probability, Statistics, and Random Processes for Engineers Hardcover – 20 December 2002

by Richard Williams (Author)
3.5 out of 5 stars 10
See all formats and editions
This book focuses on teaching probabilistic and statistical methods to upper-division electrical and computer engineering (EECE) students. It is the result of over 20 years of teaching this course in the rapidly changing environment of EECE education. In addition to being a readable and focused book for EECE students, the book is a teachable book for EECE instructors with a variety of technical backgrounds. The first part of the book, Chapters 1-3, contains fundamental probability material. The second part, Chapters 4-7, presents applications and extensions based upon the first three chapters. The four application chapters may be studied in any order, as they do not depend on each other in any essential way.
  Report an issue with this product
Previous page
  1. Print length
    480 pages
  2. Language
    English
  3. Publisher
    CL Engineering
  4. Publication date
    20 December 2002
  5. Dimensions
    19.05 x 1.91 x 23.5 cm
  6. ISBN-10
    0534368883
  7. ISBN-13
    978-0534368883
  8. See all details
Next page

Product description

Review

1. PROBABILITY. Why Probability? General Outline of this Chapter. Probability Calculations. Summary. Exercises. Computer Exercises. Bibliography. 2. SINGLE RANDOM VARIABLES. Introduction. General Outline of this Chapter. Probability Models. Expectations. Characteristic Functions. Functions of Single Random Variables. Conditioned Random Variables. Summary. Exercises. Computer Exercises. 3. MULTIPLE RANDOM VARIABLES. Introduction. General Outline of this Chapter. Bivariate Cumulative and Density Functions. Bivariate Expectations. Bivariate Transformations. Gaussian Bivariate Random Variables. Sums of Two Independent Random Variables. Sums of IID Random Variables. Conditional Joint Probabilities. Selected Topics. Summary. Exercises. Computer Exercises. 4. RANDOM PROCESSES. Introduction. An Ensemble. Probability Density Functions. Independence. Expectations. Stationarity. Correlation Functions. Ergodic Random Processes. Power Spectral Densities. Linear Systems. Noise. Matched Filters. Least Mean-square Filters. Summary. Exercises. Computer Exercises. 5. STATISTICAL INFERENCES AND CONFIDENCE. Introduction. The Maximum Likelihood Technique. Estimation of Mean and Variance. Summary. Exercises. Computer Exercises. 6. RANDOM COUNTABLE EVENTS. Introduction. Poisson Random Variables. Erlang Random Variables. Queuing. Summary. Exercises. Computer Exercises. 7. RELIABILITY. Introduction. Reliability. Failure Rates. System Reliability. The Weibull Model. Accelerated Life Testing. Summary. Exercises. Computer Exercises. APPENDICES. Selected Probability Models. A Brief Review of Counting Techniques. A Uniform Random Number Generator. Normalized Gaussian Random Variables. Unit-Step and Unit-Impulse Functions. Statistics and Sample Data. A Central Limit Theorem. Tables: Chi-Square and Student's t. Wiener-Khinchin Relations.

About the Author

Richard H. Williams is Professor Emeritus at the University of New Mexico. Before beginning his teaching career, Professor Williams was a staff member for electronic test equipment at Sandia National Laboratories (1953-1959). He then worked as a research associate at the University of New Mexico (1959-1961). From 1961 to 1998, he was a faculty member in the Electrical and Computer Engineering (EECE) Department at the University of New Mexico. His teaching experience included Electronics, Biomedical Engineering, Digital Signal Processing, and Modern Manufacturing Methods. These subjects included probability and statistical methods.

Product details

  • Publisher ‏ : ‎ CL Engineering; 1st edition (20 December 2002)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 480 pages
  • ISBN-10 ‏ : ‎ 0534368883
  • ISBN-13 ‏ : ‎ 978-0534368883
  • Dimensions ‏ : ‎ 19.05 x 1.91 x 23.5 cm
  • Customer Reviews:
    3.5 out of 5 stars 10

About the author

Follow authors to get new release updates, plus improved recommendations.
Richard H. Williams

Richard H. Williams

Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Discover more of the author’s books, see similar authors, read author blogs, and more

Customer reviews

3.5 out of 5 stars
3.5 out of 5
10 global ratings

Review this product

Share your thoughts with other customers
Write a customer review

No customer reviews

There are 0 customer reviews and 10 customer ratings.